This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...

These are algorithms that are based on making "fast and local" decisions and compare them against a carefully considered but expensive strategy such as dynamic programming studied in the previous ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: We highly recommended successfully completing ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. ... The teaching uses examples of how the algorithms ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and ...

The candidate-plots-based dynamic programming algorithm, for instance, leverages information from target-missed detections to maintain detection fidelity amid challenging clutter conditions [2].

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.